Install Tensorflow on MacOS Last Updated : 19 Jun, 2024 Comments Improve Suggest changes Like Article Like Report TensorFlow is an open-source software library developed by the Google brain team. It widely used to implement deep learning models which helps in solving real world problems. In this article, we learn how to install TensorFlow on macOS using Homebrew. Requirements: Python 3.6–3.8macOS 10.12.6 (Sierra) or later (no GPU support)Installing TensorFlow:Step 1: Verify the python version: $ python3 --versionStep 2: Verify if the brew is installed: $ brew --versionStep 3: Create the virtual environment: $ brew install virtualenv Step 4: After creating a new virtual environment, create a ./pythonenv directory to hold it. $ virtualenv --system-site-packages -p python3 ./pythonenvStep 5: Go inside ./pythonenv $ cd ./pythonenvStep 6: Activate the virtual environment source bin/activateStep 7: Install TensorFlow. brew install tensorflowStep 8: Create a new folder inside /pythonenv called tfdemo. Create a new file inside tfdemo called tfdemofile.py. Step 9: Run the file: $ python3 tfdemofile.py Python # importing tensorflow import tensorflow as tf # creating nodes in computation graph node1 = tf.constant(3, dtype = tf.int32) node2 = tf.constant(5, dtype = tf.int32) node3 = tf.add(node1, node2) # create tensorflow session object sess = tf.Session() # evaluating node3 and printing the result print("Sum of node1 and node2 is:", sess.run(node3)) # closing the session sess.close() Output: Comment More infoAdvertise with us Next Article Install Tensorflow on MacOS A abhinavjain194 Follow Improve Article Tags : Python Tensorflow Practice Tags : python Similar Reads Install Tensorflow on Linux In this article, we are going to see how to install TensorFlow in Linux. It is a completely open-source library for numerical computation using data flow graphs. System requirement:Python 3.6 to 3.8.Pip 19.0 or higher.Ubuntu 16.04 or higher.Step-wise installation: Step 1: Create a virtual environmen 1 min read How to Install Theano on MacOS? Theano is a Python library that allows us to evaluate mathematical operations including multi-dimensional arrays so efficiently. It is mostly used in building Deep Learning Projects. It works way faster on Graphics Processing Unit (GPU) rather than on the CPU. In this article, we will look into the 1 min read How to Install Pytorch on MacOS? PyTorch is an open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab. It is free and open-source software released under the Modified BSD license. Prerequisites: 2 min read How to Install Seaborn on MacOS? In this article, we will learn how to install seaborn in Python on MacOS. Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and is closely integrated with pandas data structures. Installation:Method 1: Using pip to install Seaborn Package Follow the bel 2 min read How to Install Rasterio on MacOS? In this article, we will learn how to install Rasterio in Python on MacOS. Rasterio is used to access geospatial raster data. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and wr 2 min read Like